| Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 tesla endorectal, in vivo T2‐weighted MR imagery SE Viswanath, NB Bloch, JC Chappelow, R Toth, NM Rofsky, EM Genega, ... Journal of Magnetic Resonance Imaging 36 (1), 213-224, 2012 | 133 | 2012 |
| Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study J Antunes, S Viswanath, M Rusu, L Valls, C Hoimes, N Avril, ... Translational Oncology 9 (2), 155-162, 2016 | 71 | 2016 |
| Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection P Tiwari, S Viswanath, J Kurhanewicz, A Sridhar, A Madabhushi NMR in Biomedicine 25 (4), 607-619, 2012 | 70 | 2012 |
| Computer assisted diagnosis (CAD) of cancer using multi-functional, multi-modal in-vivo magnetic resonance spectroscopy (MRS) and imaging (MRI) MD Feldman, S Viswanath, P Tiwari, R Toth, A Madabhushi, ... US Patent 8,295,575, 2012 | 61 | 2012 |
| Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI R Shiradkar, TK Podder, A Algohary, S Viswanath, RJ Ellis, ... Radiation oncology 11 (1), 1-14, 2016 | 59 | 2016 |
| A comprehensive segmentation, registration, and cancer detection scheme on 3 Tesla in vivo prostate DCE-MRI S Viswanath, BN Bloch, E Genega, N Rofsky, R Lenkinski, J Chappelow, ... International Conference on Medical Image Computing and Computer-Assisted …, 2008 | 59 | 2008 |
| Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: preliminary findings A Algohary, S Viswanath, R Shiradkar, S Ghose, S Pahwa, D Moses, ... Journal of Magnetic Resonance Imaging 48 (3), 818-828, 2018 | 56 | 2018 |
| Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI S Viswanath, BN Bloch, M Rosen, J Chappelow, R Toth, N Rofsky, ... Medical Imaging 2009: Computer-Aided Diagnosis 7260, 72603I, 2009 | 56 | 2009 |
| Novel PCA‐VIP scheme for ranking MRI protocols and identifying computer‐extracted MRI measurements associated with central gland and peripheral zone prostate tumors SB Ginsburg, SE Viswanath, BN Bloch, NM Rofsky, EM Genega, ... Journal of Magnetic Resonance Imaging 41 (5), 1383-1393, 2015 | 36 | 2015 |
| A review of machine learning in obesity KW DeGregory, P Kuiper, T DeSilvio, JD Pleuss, R Miller, JW Roginski, ... Obesity Reviews 19 (5), 668-685, 2018 | 34 | 2018 |
| Enhanced multi-protocol analysis via intelligent supervised embedding (EMPrAvISE): detecting prostate cancer on multi-parametric MRI S Viswanath, BN Bloch, J Chappelow, P Patel, N Rofsky, R Lenkinski, ... Medical Imaging 2011: Computer-Aided Diagnosis 7963, 79630U, 2011 | 33 | 2011 |
| Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI D Palumbo, B Yee, P O'Dea, S Leedy, S Viswanath, A Madabhushi 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 30 | 2011 |
| Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data P Tiwari, S Viswanath, G Lee, A Madabhushi 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011 | 27 | 2011 |
| Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings G Penzias, A Singanamalli, R Elliott, J Gollamudi, N Shih, M Feldman, ... PloS one 13 (8), e0200730, 2018 | 25 | 2018 |
| Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer S Viswanath, R Toth, M Rusu, D Sperling, H Lepor, J Futterer, ... Neurocomputing 144, 13-23, 2014 | 20 | 2014 |
| Co-Registration of ex vivo Surgical Histopathology and in vivo T2 weighted MRI of the Prostate via multi-scale spectral embedding representation L Li, S Pahwa, G Penzias, M Rusu, J Gollamudi, S Viswanath, ... Scientific Reports 7 (1), 8717, 2017 | 17 | 2017 |
| Enhanced multi-protocol analysis via intelligent supervised embedding (empravise) for multimodal data fusion A Madabhushi, S Viswanath US Patent 9,159,128, 2015 | 16 | 2015 |
| Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy GJS Litjens, HJ Huisman, RM Elliott, NN Shih, MD Feldman, ... Journal of Medical Imaging 1 (3), 035001, 2014 | 16 | 2014 |
| Empirical evaluation of bias field correction algorithms for computer aided detection of prostate cancer on t2w mri S Viswanath, D Palumbo, J Chappelow, P Patel, BN Bloch, N NRofsky, ... SPIE Medical Imaging 7963, 79630V-12, 2011 | 16 | 2011 |
| Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer J Chappelow, S Viswanath, J Monaco, M Rosen, J Tomaszewski, ... Medical Imaging 2008: Computer-Aided Diagnosis 6915, 69150V, 2008 | 16 | 2008 |
Anant MadabhushiCase Western Reserve University, Department of Biomedical EngineeringVerified email at case.edu
